Optimization of finite word length coefficient IIR digital filters through genetic algorithms: a comparative study

Authors:
Gurvinder S. Baicher
Affiliations:
Department of Engineering, Newport Business School, University of Wales Newport, Newport, South Wales, U.K.
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Abstract

This paper considers the specific issues relating to finite word length (FWL) coefficient constraints for the case of infinite impulse response (IIR) digital filters. Due to the feedback nature of recursive filters, stability issues are an important factor in their design and are discussed in some detail. Some previously reported work on the optimization of FWL coefficients for IIR filters is also discussed. Extensive range of filter types and structures of IIR filters and their optimization using genetic algorithms is investigated and reported. Finally, comparative tests were conducted using the simple hill climber optimization techniques for a selection of filters.